A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by ...

Graph neural networks (GNNs) have rapidly emerged as a central methodology for analysing complex datasets presented as graphs, where entities are interconnected through diverse relationships. By ...

A previous installment discussed the centrality of network topology to an organization’s data security and outlined the legal framework and obligations incumbent upon many organizations in the U.S.